用于监测土壤密封的泛欧统一时间序列

Land Pub Date : 2024-07-19 DOI:10.3390/land13071087
Christophe Sannier, Eva Ivits, G. Maucha, Joachim Maes, Lewis Dijkstra
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引用次数: 0

摘要

自 2006 年以来,欧洲哥白尼土地监测服务(CLMS)每 3 年制作一次不透水度数据集。不过,2018 年,制作不透水度数据集的输入从混合输入转为哨兵星座。虽然这使得空间细节从 20 米提高到 10 米,但这也导致了时间序列的中断,因为 2018 年的更新无法与之前的参考年份进行比较。此外,欧洲 CLMS 从 2018 年起开始制作名为 CLC+ Backbone 的新数据集,其中也包括密封区域专题类。在将这两个数据集与采样参考数据进行比较时,不透水数据集似乎大大低估了欧洲层面的密封区域。然而,CLC+ 数据集从 2018 年才开始提供,目前不包括任何变化层。为了解决这些问题,我们为整个观测期制作了一个统一的欧洲大陆土壤密封综合数据集。这一新数据集经验证是当前监测土壤封存的最佳数据集,可作为欧洲政策的直接输入,估计欧洲总封存面积为 175664 平方公里,2015 年至 2018 年期间封存面积增加了 1297 平方公里,增幅为 0.7%,与之前的时间段相当。最后,对未来不透水度地理空间产品的更新和验证提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harmonized Pan-European Time Series for Monitoring Soil Sealing
The European Copernicus Land Monitoring Service (CLMS) has been producing datasets on imperviousness every 3 years since 2006. However, for 2018, the input for the production of the imperviousness dataset was switched from mixed inputs to the Sentinel constellation. While this led to an improvement in the spatial detail from 20 m to 10 m, this also resulted in a break in the time series as the 2018 update was not comparable to the previous reference years. In addition, the European CLMS has been producing a new dataset from 2018 onward entitled CLC+ Backbone, which also includes a sealed area thematic class. When comparing both datasets with sampled reference data, it appears that the imperviousness dataset substantially underestimates sealed areas at the European level. However, the CLC+ dataset is only available from 2018 and currently does not include any change layer. To address these issues, a harmonized continental soil sealing combined dataset for Europe was produced for the entire observation period. This new dataset has been validated to be the best current dataset for monitoring soil sealing as a direct input for European policies with an estimated total sealed area of 175,664 km2 over Europe and an increase in sealed areas of 1297 km2 or 0.7% between 2015 and 2018, which is comparable to previous time periods. Finally, recommendations for future updates and the validation of imperviousness degree geospatial products are given.
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